Patho-Bench is designed to evaluate patch and slide encoder foundation models for whole-slide images (WSIs).
This HuggingFace repository contains the data splits for the public Patho-Bench tasks. Please visit our codebase on GitHub for the full codebase and benchmark implementation.
This project was developed by the Mahmood Lab at Harvard Medical School and Brigham and Women's Hospital. This work was funded by NIH NIGMS R35GM138216.
[!NOTE]… See the full description on the dataset page:
https://huggingface.co/datasets/MahmoodLab/Patho-Bench.
